Researchers introduce novel approach allowing robots to be trained in simulations of scanned home environments
At the top of many automation wish lists is a particularly time-consuming task: chores.
A visual-linguistic framework that enables open-vocabulary object grasping in robots
To be deployed in a broad range of real-world dynamic settings, robots should be able to successfully complete various manual tasks, ranging from household chores to complex manufacturing or agricultural processes. These manual tasks entail grasping, manipulating and placing objects of different types, which can vary in shape, weight, properties and textures.
Dutch turn to birds and bees to inspire drone swarm research
Dutch scientists have unveiled the country's first laboratory to research how autonomous miniature drones can mimic insects to accomplish tasks ranging from finding gas leaks in factories to search-and-rescue missions.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
The feel of the future: Elevating haptics with advanced dual-rate sampling
Haptic feedback stands as a cornerstone for the authenticity and depth of engagement in virtual reality and teleoperation systems. Yet, existing haptic devices have grappled with the fidelity of replicating tactile properties, hindered by the constraints on their degrees of freedom and expressive range. This limitation has ignited an urgent quest for innovative solutions that can augment the responsiveness and adaptability of haptic systems.
Shared awareness could lead to greener, more ethical, and useful smart machines
The future deployment of AIs and robots in our everyday work and life, from fully automated vehicles, to delivery robots, and AI assistants, could either be done by making increasingly capable agents that can do many tasks, or simpler more narrow agents that are designed for specific tasks.
Gemma Scope: helping the safety community shed light on the inner workings of language models
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Robots, like animals, can adapt after injuries
Fish fins and insect wings are amazing pieces of natural engineering capable of efficiently moving their owners through water or air. People creating machines to swim or fly have long looked to animals as their models, designing airplanes with wings and boats with fin-shaped rudders. Over the past decades, researchers at Caltech and elsewhere have been exploring bioinspired engineering to see if other natural forms of motion might inform mechanical engineering.